Instructions to use guldasta/mbart-oscar-hindi-gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guldasta/mbart-oscar-hindi-gen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("guldasta/mbart-oscar-hindi-gen") model = AutoModelForSeq2SeqLM.from_pretrained("guldasta/mbart-oscar-hindi-gen") - Notebooks
- Google Colab
- Kaggle
mbart-oscar-hindi-gen / runs /Dec30_11-43-58_c18c345cffbe /events.out.tfevents.1735559045.c18c345cffbe.814.0
- Xet hash:
- 266cbfa7dd8fb8d9968a0fba036ae75d41c605354dc58c396483a993400affbe
- Size of remote file:
- 6.99 kB
- SHA256:
- 72d36624b1849aa81c37f1d00828eafdfe949106787eca833ebe38e2dd0c25a2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.